[Hiring] Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting @CVS Health

Role Description

The Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting ensures the accuracy, reliability, and financial integrity of analytics-driven products across the underwriting ecosystem. This leader sets the strategy for:

• Reducing financial leakage
• Goal-seeking underwriting scenario optimization
• Forecasted P&L accuracy
• Underwriting risk-management
• Insights and recommendations for underwriting/sales decision making
• Anomaly detection in live underwriting deals

This role combines the analytical rigor of a Data Scientist with the leadership capabilities of a financial product development leader. The position leads a team of 10+ data scientists responsible for:

• Supporting underwriting analytical needs
• P&L forecasting accuracy
• Analytical insights and validation
• Reporting solutions
• Business impact
• Financial result verification

Key Responsibilities

• Product‑Embedded Leadership for Data Science & Advanced Analytics:
  • Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment.
  • Design and operationalize predictive and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions.
  • Time‑series, advanced regression, tree-based modeling and forecasting for volume, financial, and risk projections.
  • Machine learning and statistical modeling to improve underwriting accuracy and efficiency.
  • Partner closely with Product Management and Engineering to embed analytics and reporting into core product workflows.
• Metrics, Reporting & OKR Ownership:
  • Define, track, and report product, operational, and business metrics and OKRs aligned to organizational and underwriting transformation goals.
  • Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes.
  • Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs.
  • Explore and deliver emerging technologies that can help transform BI and reporting, leveraging AI to build flexible, dynamic reporting layers that enable user-driven exploration.
• Cross‑Functional Leadership & Stakeholder Management:
  • Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.
  • Build trusted partnerships with stakeholders at all organizational levels, serving as a strategic thought partner for data‑driven decisions.
  • Translate complex analytical insights into clear, actionable narratives for both technical and non‑technical audiences.
• Organizational Leadership:
  • Lead, coach, and develop a high-performing organization of decision scientists, analysts, and validation professionals.
  • Define team vision, strategy, goals, priorities, and OKRs.
  • Manage resource planning, workload prioritization, and organizational growth.
  • Provide executive-level communication, reporting, and strategic recommendations.

Qualifications

• 12+ years of experience in analytics, decision science, business intelligence, financial analysis, quality assurance, or data validation.
• 5+ years of experience leading large analytical teams and developing people leaders.
• Expertise in analytical validation, anomaly detection, root cause analysis, business impact assessment, and financial validation.
• Strong ability to analyze and synthesize both quantitative and qualitative data to generate insights and explain business outcomes.
• Experience developing self-service reporting solutions and communicating insights from reports and dashboards.
• Proven experience validating business outcomes and financial results using large-scale datasets.
• Advanced SQL and data analysis skills.
• Exceptional communication, stakeholder management, and executive presentation skills.

Preferred Qualifications

• PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics experience.
• Experience validating underwriting, forecasting, pricing, or P&L platforms.
• Experience with Databricks, SQL, Tableau, Power BI, Python, or similar analytics platforms.
• Experience leading through managers, including setting direction, coaching people leaders, and driving accountability across multi-level data science teams.

Pay Range

The typical pay range for this role is $144,200.00 - $288,400.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography, and other relevant factors. This position is eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Benefits

• Comprehensive and competitive mix of pay and benefits.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.